Technology of Graphic & Image
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949-955

Image hashing algorithm based on QBFM moments and three-dimensional structure

Ma Linsheng1
Zhao Yan1,2
1. College of Electronics & Information Engineering, Shanghai University of Electric Power, Shanghai 200090, China
2. Guangxi Key Lab of Multi-Source Information Mining & Security, Guangxi Normal University, Guilin Guangxi 541004, China

Abstract

To enhance the performance of image classification and improve the accuracy and efficiency of copy detection, this paper proposed an image hash algorithm based on QBFM moments and three-dimensional structure. Firstly, it used normalization to process the color image, and obtained the Gaussian fusion image and Laplace fusion image through multi-scale fusion, then extracted the QBFM features of two fusion images. At the same time, it directly extracted gradient information of the Gaussian fusion image in the RGB color space and constructed a three-dimensional model, used the concave convex point information of peak and valley curve of gradient from different perspectives to obtain the three-dimensional local structure features. Then, it disposed the three-dimensional model of gradient image by equidistant segmentation, counted the number of pixels and variance of each section as the three-dimensional global structure features. Finally, it combined the QBFM features and three-dimensional features of the image and scrambled to form the final hash sequence. Experimental results show that the algorithm has a better balance between robustness and discrimination. Compared with the existing hash algorithms, it has good image classification performance. In the copy detection experiment, the algorithm has the best recall and precision.

Foundation Support

国家自然科学基金资助项目(61802250)
上海市科委部分地方院校能力建设资助项目(20020500700)
广西多源信息挖掘与安全重点实验室开放基金资助项目(MIMS18-04)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.08.0309
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 3
Section: Technology of Graphic & Image
Pages: 949-955
Serial Number: 1001-3695(2022)03-053-0949-07

Publish History

[2021-11-13] Accepted Paper
[2022-03-05] Printed Article

Cite This Article

马林生, 赵琰. 基于QBFM矩和三维结构的图像哈希算法 [J]. 计算机应用研究, 2022, 39 (3): 949-955. (Ma Linsheng, Zhao Yan. Image hashing algorithm based on QBFM moments and three-dimensional structure [J]. Application Research of Computers, 2022, 39 (3): 949-955. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

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